Todo-o-nada Inc. (Head Office: Taito-ku, Tokyo, Representative Director: Yasuyuki Matsumoto), which operates the PR effect measurement service "Qlipper," will hold a free online seminar for PR and communications professionals titled "Seminar to Solve 'I Don't Know What to Do for LLMO Countermeasures'" on July 10, 2026 (Fri) at 2:00 PM. Only 4 days remain until the event.

The previous session (June 26) was fully booked and received high ratings with an average satisfaction of 4.8 (out of 5), and this upcoming session is an additional offering with the same content. As there are only 20 spots available, please apply early if you are considering attending. Seminar materials can be downloaded in advance.

Application URL: https://forms.gle/WoiqhHKU6CMKCJwx9 Material Download: https://forms.gle/reXP1r51oTWA6yFCA

1. Background of the Event: Why "Starting Next Month" is Already Too Late

The first session of this seminar (June 26) was fully booked, and in the participant survey, all attendees rated their satisfaction "4" or higher (out of 5), with approximately 80% giving the highest rating of "5." Around 80% of respondents expressed a desire to "share this within the company," and in response to this feedback, we decided to hold an additional session with the same content.

The background to this is a pressing issue common among PR and communications professionals. AI operates based on accumulated text data from the past. Companies that are not active now will not exist in the AI world of tomorrow. Whether you start next month or next year, the gap with competitors will widen by that much.

While you may hear that "LLMO countermeasures are necessary," you might not know where to begin. This seminar will provide a correct understanding of how AI obtains information and offer concrete actions you can take immediately. Previous participants have commented, "I was able to organize what needs to be done for PR and marketing (SEO)," and "I realized I had a misunderstanding of how AI works."

2. What You Will Learn in This Seminar

1 AI May Not Know Your Company AI provides answers based on text accumulated up to its last training completion. If your company's information is not sufficiently accumulated in reliable media, AI will respond as if it "doesn't know" your company. Understanding how your company is recognized by AI is the starting point for everything.

2 Much of the So-Called "AI Countermeasures" Aren't Even Seen by AI Many measures marketed as "LLMO countermeasures" do not actually affect AI learning. We will explain what is effective and what is ineffective, differentiating based on how AI acquires information. You will gain the criteria to avoid wasteful investments.

3 Your Competitors Are Widening the Gap Every Day Accumulation for AI does not happen overnight. If competitors first accumulate the connection between "customer issues" and "their company name," the cost for a latecomer to overwrite that will be significant. We will convey the sense of urgency that led approximately 80% of previous participants to state they wanted to "share this within the company."

4 Accumulation in the Wrong Direction is Irreversible If you act without understanding the mechanism, you will accumulate investments in the wrong direction. Because these are cumulative measures, continuing in the wrong direction becomes the biggest risk. We will explain the thinking process to set the correct direction from the start.

5 You Can Diagnose Whether You Are Moving in the "Right Direction" While the AI's recommendation probability itself cannot be measured, there are ways to confirm if you are investing in the right direction. We will introduce specific steps, including "Target Query Definition" and "Association Diagnosis," which approximately 30% of previous participants responded they wanted to "try."

3. Event Overview

Date and Time: July 10, 2026 (Fri) 2:00 PM - 3:00 PM (scheduled)

Format: Online (Zoom)

Capacity: 20 people

Participation Fee: Free

Speaker: Tatsuya Shiraishi (Director, Todo-o-nada Inc.)

Application URL: https://forms.gle/WoiqhHKU6CMKCJwx9

4. Speaker's Comment

"The more I research AI and LLMO, the more I return to the essence of PR. The difference between companies recommended by AI and those that are not lies not in special technical measures, but in whether the customer's issues and the company name are accumulated in reliable media in the correct context. Acting without a proper understanding of the mechanism will only lead to accumulating investments in the wrong direction. In this seminar, we will provide concrete directions that PR professionals can act on immediately."

Tatsuya Shiraishi, Director, Todo-o-nada Inc.

5. Related Services

PR Effect Measurement Service "Qlipper" A monitoring service that provides real-time monitoring of over 4,000 domestic web media outlets, automatically collecting and analyzing published articles. PR effects can be quantitatively grasped through competitor comparison, virtual PV, and Ad conversion.

AI Agent "Qoddler" An AI agent function that allows you to retrieve your company's accumulated PR data from Qlipper in a chat format. It significantly improves PR work efficiency, from daily fixed-point checks and monthly report creation to strengthening media relations.

AI Recommendation Measurement Tool "DigiDigi" A tool that continuously diagnoses whether the conditions are met for AI to easily recommend or mention your company. It visualizes whether the conditions for recommendation are met, rather than the recommendation probability itself.

6. Company Overview

Company Name: Todo-o-nada Inc.

Representative: Representative Director Yasuyuki Matsumoto

Established: January 20, 2020

Location: Yabiko Bldg. 302, 7-11-13 Ueno, Taito-ku, Tokyo

Business Activities: Development and operation of cloud services for corporations, system consulting business

URL: https://todo-o-nada.com

[Inquiries Regarding This Press Release]

Todo-o-nada Inc. Qlipper Management Office

Email: qlipper@todo-o-nada.com

TEL: 03-6453-6886

FACT BOX

  • Source: PR TIMES
  • Category: セミナー
  • Organizations: Qlipper / Qoddler